By Professor Mary-Anne Williams

Conference Papers

Sinnappan S; Williams MA; Muthaly S, 2001, 'Agent based architecture for internet marketing', in Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), pp. 158 - 169, http://dx.doi.org/10.1007/3-540-45408-x_17

Lang J; Marquis P; Williams MA, 2001, 'Updating epistemic states', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 297 - 308, http://dx.doi.org/10.1007/3-540-45656-2_26

Antoniou G; Williams MA, 1998, 'Revising default theories', in Proceedings of the International Conference on Tools with Artificial Intelligence, pp. 423 - 430

Williams MA, 1997, 'Anytime belief revision', in IJCAI International Joint Conference on Artificial Intelligence, pp. 74 - 79

Williams MA, 1997, 'Belief revision as database update', in Proceedings - Intelligent Information Systems, IIS 1997, pp. 410 - 414, http://dx.doi.org/10.1109/IIS.1997.645321

Antoniou G; Courtney AP; Ernsttand J; Williams MA, 1996, 'A system for computing constrained default logic extensions', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 237 - 250

Antoniou G; Williams MA, 1996, 'Default reasoning and belief revision in the CIN project', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 691 - 693, http://dx.doi.org/10.1007/3-540-61313-7_110

Williams MA; Pagnucco M; Foo N; Sims B, 1995, 'Determining explanations using transmutations', in Mellish CS (ed.), IJCAI-95 - PROCEEDINGS OF THE FOURTEENTH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE, VOLS 1 AND 2, MORGAN KAUFMANN PUB INC, CANADA, MONTREAL, pp. 822 - 827, presented at 14th International Joint Conference on Artificial Intelligence (IJCAI-95), CANADA, MONTREAL, 20 August 1995 - 25 August 1995, https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:A1995BE63Q00107&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=891bb5ab6ba270e68a29b250adbe88d1

Williams MA, 1995, 'Conditionalizing expectations', in ANZIIS 1995 - Proceedings of the 3rd Australian and New Zealand Conference on Intelligent Information Systems, pp. 111 - 116, http://dx.doi.org/10.1109/ANZIIS.1995.705724

Williams MA, 1995, 'Iterated Theory Base Change: A Computational Model', in IJCAI International Joint Conference on Artificial Intelligence, pp. 1541 - 1547

Elliot S; Williams M-A; Bjorn-Andersen N, 'Strategic Management of Technology-Enabled Disruptive Innovation: Next Generation Web Technologies', in International Conference on Computational Intelligence for Modelling, Control and Automation and International Conference on Intelligent Agents, Web Technologies and Internet Commerce (CIMCA-IAWTIC'06), IEEE, pp. 113 - 113, presented at International Conference on Computational Intelligence for Modelling, Control and Automation and International Conference on Intelligent Agents, Web Technologies and Internet Commerce (CIMCA-IAWTIC'06), http://dx.doi.org/10.1109/cimca.2005.1631251

Conference Presentations

Williams MA, 2021, 'Designing human-robot interaction with social intelligence', http://dx.doi.org/10.1145/3434073.3444865

Conference Abstracts

Williams M-A; Schweitzer J; Mark VR, 2017, 'A Distributed Future:How Blockchain Affects Strategic Management, Organisation Design & Governance', in Academy of Management Annual Meeting Proceedings, Vol. Vol. 2017, presented at Academy of Management Annual Meeting P, http://dx.doi.org/10.5465/AMBPP.2017.14807

Reports

Williams M-A, 2023, Responsible AI: Australia’s unfair advantage in the new global wave of AI innovation, ATSE, Canberra, http://dx.doi.org/10.26190/unsworks/28741, https://www.atse.org.au/wp-content/uploads/2023/11/11-13-Williams-%E2%80%94-Australias-unfair-advantage-in-the-new-global-wave-of-AI-innovation.pdf

Media

Dhaenens A; Sanders K; Williams M, 2023, Business AI: The game-changer in predicting and enhancing employee retention, https://www.businessthink.unsw.edu.au/articles/ai-predicting-employee-retention

Williams M-A; Williams M-A, 2021, Rawpixel / Shutterstock How AI can help choose your next career and stay ahead of automation, https://theconversation.com/how-ai-can-help-choose-your-next-career-and-stay-ahead-of-automation-164162

Preprints

Dawson N; Rizoiu M-A; Johnston B; Williams M-A, 2020, Predicting Skill Shortages in Labor Markets: A Machine Learning Approach, http://dx.doi.org/10.48550/arxiv.2004.01311

Dawson N; Rizoiu M-A; Johnston B; Williams M-A, 2019, Adaptively selecting occupations to detect skill shortages from online job ads, http://dx.doi.org/10.48550/arxiv.1911.02302

Gudi SLKC; Johnston B; Williams M-A, 2019, Fog Robotics: A Summary, Challenges and Future Scope, http://dx.doi.org/10.48550/arxiv.1908.04935

Gudi SLKC; Ojha S; Johnston B; Clark J; Williams M-A, 2018, Fog Robotics for Efficient, Fluent and Robust Human-Robot Interaction, http://dx.doi.org/10.48550/arxiv.1811.05578

Skillicorn DB; Billingsley R; Williams M-A, 2018, The Design Space of Social Robots, http://dx.doi.org/10.48550/arxiv.1801.04857

Skillicorn DB; Alsadhan N; Billingsley R; Williams M-A, 2017, Social Robot Modelling of Human Affective State, http://dx.doi.org/10.48550/arxiv.1705.00786

Vitale J; Williams M-A; Johnston B; Boccignone G, 2014, Affective Facial Expression Processing via Simulation: A Probabilistic Model, http://dx.doi.org/10.48550/arxiv.1411.0582

Dawson N; Rizoiu M-A; Johnston B; Williams M-A, Predicting Skill Shortages in Labor Markets: A Machine Learning Approach, http://dx.doi.org/10.2139/ssrn.3681132

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